Modeling the complex exposure history of smoking in predicting bladder cancer: a pooled analysis of 15 case-control studies

Frits H M van Osch, Jelle Vlaanderen, Sylvia H J Jochems, Cristina Bosetti, Jerry Polesel, Stefano Porru, Angela Carta, Klaus Golka, Xuejuan Jiang, Mariana C Stern, Wei-De Zhong, Eliane Kellen, Hermann Pohlabeln, Li Tang, James Marshall, Gunnar Steineck, Margaret R Karagas, Kenneth C Johnson, Zuo-Feng Zhang, Jack A TaylorCarlo La Vecchia, Richard T Bryan, Frederik J van Schooten, Anke Wesselius, Maurice P Zeegers

Research output: Contribution to journalArticle

Abstract

BACKGROUND: Few studies have modeled smoking histories by combining smoking intensity and duration to show what profile of smoking behavior is associated with highest risk of bladder cancer. This study aims to provide insight into the association between smoking exposure history and bladder cancer risk by modeling both smoking intensity and duration in a pooled analysis.

METHODS: We used data from 15 case-control studies included in the BLadder cancer Epidemiology and Nutritional Determinants (BLEND) study, including a total of 6,874 cases and 17,727 controls. To jointly interpret the effects of intensity and duration of smoking, we modeled excess odds ratios (EOR) per pack-year by intensity continuously to estimate the risk difference between smokers with long duration/low intensity and short duration/high intensity.

RESULTS: The pattern observed from the pooled EOR model indicated that for a fixed number of pack-years, smoking for a longer duration at lower intensity was more deleterious for bladder cancer risk than smoking more cigarettes/day for a shorter duration. We observed similar patterns within individual study samples.

CONCLUSIONS: This pooled analysis shows that long duration/low intensity smoking is associated with a greater increase in bladder cancer risk than short duration/ high intensity smoking within equal pack-year categories, thus confirming studies in other smoking-related cancers and demonstrating that reducing exposure history to a single metric such as pack-years was too restrictive.

Original languageEnglish
JournalEpidemiology (Cambridge, Mass.)
DOIs
Publication statusE-pub ahead of print - Dec 26 2018

Fingerprint

Urinary Bladder Neoplasms
Case-Control Studies
Smoking
History
Odds Ratio
Epidemiology

Cite this

Modeling the complex exposure history of smoking in predicting bladder cancer : a pooled analysis of 15 case-control studies. / van Osch, Frits H M; Vlaanderen, Jelle; Jochems, Sylvia H J; Bosetti, Cristina; Polesel, Jerry; Porru, Stefano; Carta, Angela; Golka, Klaus; Jiang, Xuejuan; Stern, Mariana C; Zhong, Wei-De; Kellen, Eliane; Pohlabeln, Hermann; Tang, Li; Marshall, James; Steineck, Gunnar; Karagas, Margaret R; Johnson, Kenneth C; Zhang, Zuo-Feng; Taylor, Jack A; La Vecchia, Carlo; Bryan, Richard T; van Schooten, Frederik J; Wesselius, Anke; Zeegers, Maurice P.

In: Epidemiology (Cambridge, Mass.), 26.12.2018.

Research output: Contribution to journalArticle

van Osch, FHM, Vlaanderen, J, Jochems, SHJ, Bosetti, C, Polesel, J, Porru, S, Carta, A, Golka, K, Jiang, X, Stern, MC, Zhong, W-D, Kellen, E, Pohlabeln, H, Tang, L, Marshall, J, Steineck, G, Karagas, MR, Johnson, KC, Zhang, Z-F, Taylor, JA, La Vecchia, C, Bryan, RT, van Schooten, FJ, Wesselius, A & Zeegers, MP 2018, 'Modeling the complex exposure history of smoking in predicting bladder cancer: a pooled analysis of 15 case-control studies', Epidemiology (Cambridge, Mass.). https://doi.org/10.1097/EDE.0000000000000964
van Osch, Frits H M ; Vlaanderen, Jelle ; Jochems, Sylvia H J ; Bosetti, Cristina ; Polesel, Jerry ; Porru, Stefano ; Carta, Angela ; Golka, Klaus ; Jiang, Xuejuan ; Stern, Mariana C ; Zhong, Wei-De ; Kellen, Eliane ; Pohlabeln, Hermann ; Tang, Li ; Marshall, James ; Steineck, Gunnar ; Karagas, Margaret R ; Johnson, Kenneth C ; Zhang, Zuo-Feng ; Taylor, Jack A ; La Vecchia, Carlo ; Bryan, Richard T ; van Schooten, Frederik J ; Wesselius, Anke ; Zeegers, Maurice P. / Modeling the complex exposure history of smoking in predicting bladder cancer : a pooled analysis of 15 case-control studies. In: Epidemiology (Cambridge, Mass.). 2018.
@article{06256477426e4904a634039fe9d99d15,
title = "Modeling the complex exposure history of smoking in predicting bladder cancer: a pooled analysis of 15 case-control studies",
abstract = "BACKGROUND: Few studies have modeled smoking histories by combining smoking intensity and duration to show what profile of smoking behavior is associated with highest risk of bladder cancer. This study aims to provide insight into the association between smoking exposure history and bladder cancer risk by modeling both smoking intensity and duration in a pooled analysis.METHODS: We used data from 15 case-control studies included in the BLadder cancer Epidemiology and Nutritional Determinants (BLEND) study, including a total of 6,874 cases and 17,727 controls. To jointly interpret the effects of intensity and duration of smoking, we modeled excess odds ratios (EOR) per pack-year by intensity continuously to estimate the risk difference between smokers with long duration/low intensity and short duration/high intensity.RESULTS: The pattern observed from the pooled EOR model indicated that for a fixed number of pack-years, smoking for a longer duration at lower intensity was more deleterious for bladder cancer risk than smoking more cigarettes/day for a shorter duration. We observed similar patterns within individual study samples.CONCLUSIONS: This pooled analysis shows that long duration/low intensity smoking is associated with a greater increase in bladder cancer risk than short duration/ high intensity smoking within equal pack-year categories, thus confirming studies in other smoking-related cancers and demonstrating that reducing exposure history to a single metric such as pack-years was too restrictive.",
author = "{van Osch}, {Frits H M} and Jelle Vlaanderen and Jochems, {Sylvia H J} and Cristina Bosetti and Jerry Polesel and Stefano Porru and Angela Carta and Klaus Golka and Xuejuan Jiang and Stern, {Mariana C} and Wei-De Zhong and Eliane Kellen and Hermann Pohlabeln and Li Tang and James Marshall and Gunnar Steineck and Karagas, {Margaret R} and Johnson, {Kenneth C} and Zuo-Feng Zhang and Taylor, {Jack A} and {La Vecchia}, Carlo and Bryan, {Richard T} and {van Schooten}, {Frederik J} and Anke Wesselius and Zeegers, {Maurice P}",
year = "2018",
month = "12",
day = "26",
doi = "10.1097/EDE.0000000000000964",
language = "English",
journal = "Epidemiology",
issn = "1044-3983",
publisher = "Lippincott Williams and Wilkins",

}

TY - JOUR

T1 - Modeling the complex exposure history of smoking in predicting bladder cancer

T2 - a pooled analysis of 15 case-control studies

AU - van Osch, Frits H M

AU - Vlaanderen, Jelle

AU - Jochems, Sylvia H J

AU - Bosetti, Cristina

AU - Polesel, Jerry

AU - Porru, Stefano

AU - Carta, Angela

AU - Golka, Klaus

AU - Jiang, Xuejuan

AU - Stern, Mariana C

AU - Zhong, Wei-De

AU - Kellen, Eliane

AU - Pohlabeln, Hermann

AU - Tang, Li

AU - Marshall, James

AU - Steineck, Gunnar

AU - Karagas, Margaret R

AU - Johnson, Kenneth C

AU - Zhang, Zuo-Feng

AU - Taylor, Jack A

AU - La Vecchia, Carlo

AU - Bryan, Richard T

AU - van Schooten, Frederik J

AU - Wesselius, Anke

AU - Zeegers, Maurice P

PY - 2018/12/26

Y1 - 2018/12/26

N2 - BACKGROUND: Few studies have modeled smoking histories by combining smoking intensity and duration to show what profile of smoking behavior is associated with highest risk of bladder cancer. This study aims to provide insight into the association between smoking exposure history and bladder cancer risk by modeling both smoking intensity and duration in a pooled analysis.METHODS: We used data from 15 case-control studies included in the BLadder cancer Epidemiology and Nutritional Determinants (BLEND) study, including a total of 6,874 cases and 17,727 controls. To jointly interpret the effects of intensity and duration of smoking, we modeled excess odds ratios (EOR) per pack-year by intensity continuously to estimate the risk difference between smokers with long duration/low intensity and short duration/high intensity.RESULTS: The pattern observed from the pooled EOR model indicated that for a fixed number of pack-years, smoking for a longer duration at lower intensity was more deleterious for bladder cancer risk than smoking more cigarettes/day for a shorter duration. We observed similar patterns within individual study samples.CONCLUSIONS: This pooled analysis shows that long duration/low intensity smoking is associated with a greater increase in bladder cancer risk than short duration/ high intensity smoking within equal pack-year categories, thus confirming studies in other smoking-related cancers and demonstrating that reducing exposure history to a single metric such as pack-years was too restrictive.

AB - BACKGROUND: Few studies have modeled smoking histories by combining smoking intensity and duration to show what profile of smoking behavior is associated with highest risk of bladder cancer. This study aims to provide insight into the association between smoking exposure history and bladder cancer risk by modeling both smoking intensity and duration in a pooled analysis.METHODS: We used data from 15 case-control studies included in the BLadder cancer Epidemiology and Nutritional Determinants (BLEND) study, including a total of 6,874 cases and 17,727 controls. To jointly interpret the effects of intensity and duration of smoking, we modeled excess odds ratios (EOR) per pack-year by intensity continuously to estimate the risk difference between smokers with long duration/low intensity and short duration/high intensity.RESULTS: The pattern observed from the pooled EOR model indicated that for a fixed number of pack-years, smoking for a longer duration at lower intensity was more deleterious for bladder cancer risk than smoking more cigarettes/day for a shorter duration. We observed similar patterns within individual study samples.CONCLUSIONS: This pooled analysis shows that long duration/low intensity smoking is associated with a greater increase in bladder cancer risk than short duration/ high intensity smoking within equal pack-year categories, thus confirming studies in other smoking-related cancers and demonstrating that reducing exposure history to a single metric such as pack-years was too restrictive.

U2 - 10.1097/EDE.0000000000000964

DO - 10.1097/EDE.0000000000000964

M3 - Article

JO - Epidemiology

JF - Epidemiology

SN - 1044-3983

ER -